1 00:00:05,800 --> 00:00:08,720 Speaker 1: Welcome to the Bloomberg p m L Podcast. I'm Pim Fox. 2 00:00:08,760 --> 00:00:11,560 Speaker 1: Along with my co host Lisa Abramowitz. Each day we 3 00:00:11,640 --> 00:00:15,120 Speaker 1: bring you the most important, noteworthy, and useful interviews for 4 00:00:15,200 --> 00:00:17,840 Speaker 1: you and your money, whether you're at the grocery store 5 00:00:17,960 --> 00:00:20,720 Speaker 1: or the trading floor. Find the Bloomberg p m L 6 00:00:20,840 --> 00:00:33,239 Speaker 1: Podcast on Apple Podcasts, SoundCloud, and Bloomberg dot Com. The 7 00:00:33,320 --> 00:00:38,200 Speaker 1: topic now is energy. In Vienna, OPEC a tentatively agreeing 8 00:00:38,240 --> 00:00:42,760 Speaker 1: on an oil output cut that was something on the agenda, 9 00:00:43,040 --> 00:00:46,120 Speaker 1: but we're still waiting to hear from non OPEC members 10 00:00:46,159 --> 00:00:49,559 Speaker 1: such as Russia before deciding what kind of volume in 11 00:00:49,600 --> 00:00:52,959 Speaker 1: production reduction will actually take place. Here to tell us 12 00:00:53,040 --> 00:00:56,680 Speaker 1: more from Vienna is Jason Schenker. He is the president 13 00:00:56,800 --> 00:01:01,400 Speaker 1: of Prestige Economics and the chairman of the Futurist Institute. Jason, 14 00:01:01,680 --> 00:01:04,120 Speaker 1: we've all been waiting for a press conference that apparently 15 00:01:04,240 --> 00:01:08,160 Speaker 1: is not going to happen. Yeah, that's right, Tim. I'm 16 00:01:08,160 --> 00:01:11,160 Speaker 1: sitting right now in the press conference room in Vienna. 17 00:01:11,840 --> 00:01:14,319 Speaker 1: There were a few hundred people here up until about 18 00:01:14,319 --> 00:01:17,560 Speaker 1: ten minutes ago when the story broke that there was 19 00:01:17,600 --> 00:01:19,560 Speaker 1: not going to be a press conference. The room is 20 00:01:19,680 --> 00:01:23,480 Speaker 1: mostly emptied out. Now it's maybe about only hundred people left, 21 00:01:23,959 --> 00:01:26,400 Speaker 1: and uh, you know, folks are a little bit concerned, 22 00:01:26,440 --> 00:01:28,920 Speaker 1: but it looks like lock the wait for tomorrow to 23 00:01:29,040 --> 00:01:32,440 Speaker 1: see what happens if OPEC and non OPEC members, specifically 24 00:01:32,480 --> 00:01:34,760 Speaker 1: Russia can come to an agreement on what happens with 25 00:01:34,840 --> 00:01:38,240 Speaker 1: the production cuts for the year ahead. So, Jason, this 26 00:01:38,360 --> 00:01:42,840 Speaker 1: actually is highly unusual for them to cancel a press conference. 27 00:01:43,040 --> 00:01:46,319 Speaker 1: Does it indicate to you that there's more disagreement than 28 00:01:46,520 --> 00:01:49,240 Speaker 1: usual on how much to cut production or even if 29 00:01:49,240 --> 00:01:52,680 Speaker 1: they should cut it all? Well, I think what it 30 00:01:52,720 --> 00:01:56,400 Speaker 1: really indicates is that the stakes are higher, and I 31 00:01:56,440 --> 00:01:58,240 Speaker 1: think anyone you know, we look at what's going on 32 00:01:58,280 --> 00:02:00,600 Speaker 1: across markets today and what's been going up for the 33 00:02:00,680 --> 00:02:02,880 Speaker 1: last two months. Uh, you know, we see there's a 34 00:02:02,880 --> 00:02:06,640 Speaker 1: lot of altimities. There's concerned about the U. S. China 35 00:02:06,720 --> 00:02:09,040 Speaker 1: trade war and what's going on. What does that mean 36 00:02:09,120 --> 00:02:12,840 Speaker 1: for risk in It's been really important for industrial medals, 37 00:02:12,840 --> 00:02:15,440 Speaker 1: which have been crushed all year. Oil prices have taken 38 00:02:15,440 --> 00:02:18,680 Speaker 1: a big hit after the driving season. UM equity markets 39 00:02:18,760 --> 00:02:20,959 Speaker 1: highly voluntal on this, and then of course there's still 40 00:02:21,000 --> 00:02:23,919 Speaker 1: interest rate tightening, not just in the US but everywhere 41 00:02:24,120 --> 00:02:26,400 Speaker 1: higher cross the capital. What's that going to do. There's 42 00:02:26,400 --> 00:02:29,320 Speaker 1: a risk of a campex recession in business investment in 43 00:02:29,320 --> 00:02:32,760 Speaker 1: the US, there's a risk of a Chinese manufacturing recession. 44 00:02:33,000 --> 00:02:36,839 Speaker 1: In these things are big risks on OPEX plate, and 45 00:02:37,000 --> 00:02:39,079 Speaker 1: I think that OPEC and not PICK members want to 46 00:02:39,080 --> 00:02:41,160 Speaker 1: make sure they get it right because the risks in 47 00:02:41,200 --> 00:02:45,600 Speaker 1: the stakes couldn't be higher. Jason the Russian Energy Minister 48 00:02:45,720 --> 00:02:51,760 Speaker 1: Alexander Novak, he went from Vienna back to St. Petersburg 49 00:02:51,880 --> 00:02:55,720 Speaker 1: to talk to President Vladimir Putin. He's now scheduled to 50 00:02:55,800 --> 00:03:03,200 Speaker 1: return to Vienna on Friday. What to the Russians one, Well, 51 00:03:03,240 --> 00:03:07,040 Speaker 1: I think it's really you know, there's concern about the 52 00:03:07,120 --> 00:03:11,720 Speaker 1: market going into an oversupplied situation. What happened in late 53 00:03:12,639 --> 00:03:17,320 Speaker 1: through the middle of oil inventories globally rose sharply, and 54 00:03:17,480 --> 00:03:20,280 Speaker 1: part of that was China, the biggest net importer in 55 00:03:20,320 --> 00:03:22,960 Speaker 1: the world of crude oil, the biggest source of additional 56 00:03:23,000 --> 00:03:26,720 Speaker 1: future marginal crude oil demand, was in a manufacturing recession. 57 00:03:27,000 --> 00:03:29,799 Speaker 1: China is on an edge of the manufacturing recession right now. 58 00:03:30,120 --> 00:03:32,680 Speaker 1: If it goes into one, and OPEC and non IMPEC 59 00:03:32,760 --> 00:03:36,000 Speaker 1: members specifically if Russia and OPEC can't agree on how 60 00:03:36,080 --> 00:03:38,960 Speaker 1: much to reduce, then the price of oil to get 61 00:03:39,000 --> 00:03:41,400 Speaker 1: backed really hard. And so I think there's you know, 62 00:03:41,520 --> 00:03:44,440 Speaker 1: potential to want to air on the side of more 63 00:03:44,520 --> 00:03:47,640 Speaker 1: tightening rather than left. And that means, you know, there 64 00:03:47,680 --> 00:03:50,880 Speaker 1: might need to be special approvals involved because they can't 65 00:03:50,880 --> 00:03:53,560 Speaker 1: get this wrong, because if they do, with inventories go 66 00:03:53,680 --> 00:03:56,720 Speaker 1: up a lot, more oil prances could get hammered. What's 67 00:03:56,800 --> 00:03:59,520 Speaker 1: the price that they would like to see. I'm looking 68 00:03:59,600 --> 00:04:02,800 Speaker 1: right now a crude on the IMAX hitting that fifty 69 00:04:03,120 --> 00:04:07,400 Speaker 1: a barrel target are almost almost they're almost lowest levels 70 00:04:07,440 --> 00:04:11,440 Speaker 1: in more than a year. What do they want, Well, 71 00:04:11,480 --> 00:04:14,240 Speaker 1: I think that the most you know, I I would 72 00:04:14,280 --> 00:04:17,080 Speaker 1: probably say sixty dollars are above. But they don't explicitly 73 00:04:17,160 --> 00:04:20,040 Speaker 1: target an oil price. What they try to target, what 74 00:04:20,120 --> 00:04:22,560 Speaker 1: they have targeted for the last two years with the 75 00:04:22,560 --> 00:04:27,119 Speaker 1: OPEC mon OPEC agreement is the five year average inventory level. 76 00:04:27,560 --> 00:04:31,600 Speaker 1: That inventory is built up massively above that through the 77 00:04:31,640 --> 00:04:35,400 Speaker 1: early part of and they've run down this year. We've 78 00:04:35,400 --> 00:04:40,360 Speaker 1: been below globally that five year average of oil inventory stocks, 79 00:04:40,400 --> 00:04:43,719 Speaker 1: and so OPEC wants to keep it below that. We're 80 00:04:43,800 --> 00:04:47,040 Speaker 1: at that five year inventory average. That's what they're really 81 00:04:47,040 --> 00:04:48,920 Speaker 1: trying to target, because they know if they can keep 82 00:04:48,960 --> 00:04:51,560 Speaker 1: it at that level, even if demand weakens, it will 83 00:04:51,560 --> 00:04:55,480 Speaker 1: support prices. And while they might like sixty dollars a 84 00:04:55,520 --> 00:04:58,000 Speaker 1: barrel with the prize very worried about, is it's a 85 00:04:58,080 --> 00:05:01,960 Speaker 1: forty again Mason. One of the things the Russians have 86 00:05:02,120 --> 00:05:04,680 Speaker 1: said is that it is more challenging for them to 87 00:05:04,760 --> 00:05:08,960 Speaker 1: cut oil output in the winter than other producers because 88 00:05:09,120 --> 00:05:12,200 Speaker 1: of the cold weather. Does this mean that they're going 89 00:05:12,279 --> 00:05:15,680 Speaker 1: to have to wait until after winter and after the 90 00:05:15,720 --> 00:05:21,640 Speaker 1: Europeans use all of that Russian natural gas? Well, I'd 91 00:05:21,640 --> 00:05:24,479 Speaker 1: say there's a couple of things on this, and you know, 92 00:05:24,520 --> 00:05:26,679 Speaker 1: I don't think it. I mean, they can structure wind 93 00:05:26,680 --> 00:05:29,880 Speaker 1: cuts happen, how cuts happen. You know, those are things 94 00:05:29,920 --> 00:05:32,360 Speaker 1: that can be worked out. But I think as long 95 00:05:32,400 --> 00:05:35,080 Speaker 1: as the members are, you know, kind of of a 96 00:05:35,200 --> 00:05:38,159 Speaker 1: singular mind to rain and supply, that's going to be 97 00:05:38,160 --> 00:05:40,720 Speaker 1: the thing. But I think no one country wants to 98 00:05:40,760 --> 00:05:44,080 Speaker 1: bear the entire brunt of it, and I think that 99 00:05:44,160 --> 00:05:46,919 Speaker 1: the members also want to see it kind of spread around. 100 00:05:46,960 --> 00:05:49,360 Speaker 1: I think, particularly Saudi Arabia wants to make sure that 101 00:05:49,640 --> 00:05:52,320 Speaker 1: these are numbers that everybody's going to play with, and 102 00:05:52,640 --> 00:05:54,839 Speaker 1: they're not the only country to pull back supply, and 103 00:05:54,880 --> 00:05:57,400 Speaker 1: I think Russia wants to make sure that it too 104 00:05:57,760 --> 00:06:00,400 Speaker 1: isn't the only one to reduce supply, because all everyone 105 00:06:00,400 --> 00:06:04,080 Speaker 1: would like to benefit from potentially more supported or higher prices, 106 00:06:04,800 --> 00:06:06,800 Speaker 1: not every you know, no country wants to pay the 107 00:06:06,839 --> 00:06:10,760 Speaker 1: full right, right, Jason Schanker, thank you so much for 108 00:06:10,800 --> 00:06:14,520 Speaker 1: being with us there from Vienna, where you are observing 109 00:06:14,720 --> 00:06:18,880 Speaker 1: the undertakings at OPEC's latest meeting. Jason Shanker, President of 110 00:06:18,920 --> 00:06:23,200 Speaker 1: a Prestige Economics, also chairman of the Futurist Institute, normally 111 00:06:23,200 --> 00:06:38,000 Speaker 1: based in Austin, but over in Vienna. Canadian authorities in 112 00:06:38,080 --> 00:06:42,159 Speaker 1: Vancouver have arrested Huawei Technologies chief financial officer at the 113 00:06:42,200 --> 00:06:47,360 Speaker 1: request of the United States, for alleged violations of Iran sanctions. 114 00:06:47,839 --> 00:06:51,039 Speaker 1: Here to help us understand the situation is Wu jin Ho. 115 00:06:51,360 --> 00:06:55,360 Speaker 1: He is technology analyst for Bloomberg Intelligence and also joining 116 00:06:55,440 --> 00:07:00,840 Speaker 1: us as Michael McKee, international Economics and Policy correspondent for Bloomberg. 117 00:07:01,360 --> 00:07:05,520 Speaker 1: Michael McKee, let's just begin. The chief financial officer of 118 00:07:05,600 --> 00:07:10,600 Speaker 1: Huawei Technologies is not an ordinary employee. Is she no 119 00:07:11,080 --> 00:07:13,480 Speaker 1: she's not. She's the daughter of the founder. And this 120 00:07:13,600 --> 00:07:16,600 Speaker 1: is also one of China's biggest companies, and it is 121 00:07:16,640 --> 00:07:19,000 Speaker 1: one of the companies that China is relying on in 122 00:07:19,000 --> 00:07:23,200 Speaker 1: the Made in China program to dominate the world's uh 123 00:07:23,480 --> 00:07:27,800 Speaker 1: leading technologies of the future. So this has enormous implications. 124 00:07:27,880 --> 00:07:32,360 Speaker 1: It may have been something completely separate from the president's 125 00:07:32,440 --> 00:07:36,000 Speaker 1: overtures to Shi Jinping down in Buenos Aires, but it 126 00:07:36,080 --> 00:07:39,800 Speaker 1: was the same day, so it could possibly be a 127 00:07:39,800 --> 00:07:43,320 Speaker 1: message from the President to the Chinese. But it's definitely 128 00:07:43,360 --> 00:07:47,600 Speaker 1: going to complicate the trade efforts that the administration is making. 129 00:07:47,600 --> 00:07:50,160 Speaker 1: You have to expect the Chinese may have some sort 130 00:07:50,160 --> 00:07:53,480 Speaker 1: of retaliatory move ahead. Just to be very clear, though, 131 00:07:53,800 --> 00:07:56,480 Speaker 1: this is being prosecuted out of the Eastern District of 132 00:07:56,520 --> 00:07:59,120 Speaker 1: New York, So this is a federal prosecutatorial office that 133 00:07:59,400 --> 00:08:01,560 Speaker 1: is somewhat remove from the president in the day to 134 00:08:01,640 --> 00:08:05,120 Speaker 1: day terms. And Cannada Canada did cooperate here. Come on 135 00:08:05,320 --> 00:08:07,800 Speaker 1: here at wujin Ho. What do we know about the 136 00:08:07,840 --> 00:08:11,480 Speaker 1: actual allegations and then can you talk about what the 137 00:08:11,560 --> 00:08:14,240 Speaker 1: programming in the software and some of the some of 138 00:08:14,280 --> 00:08:17,760 Speaker 1: the actual technology behind this is why it's such a 139 00:08:17,800 --> 00:08:22,880 Speaker 1: security concern. Sure, So UM from a from the allegations 140 00:08:23,120 --> 00:08:27,640 Speaker 1: standpoint is still fairly thin because the documents are sealed 141 00:08:27,720 --> 00:08:30,120 Speaker 1: right now, So we really don't know why she's being 142 00:08:30,200 --> 00:08:33,160 Speaker 1: arrested in Canada. Alway do know is that she was 143 00:08:33,280 --> 00:08:36,120 Speaker 1: arrested on December one, and then she's being asked to 144 00:08:36,559 --> 00:08:38,680 Speaker 1: the US is asking her to be extradited in back 145 00:08:38,720 --> 00:08:41,320 Speaker 1: to the U s UH for some sort of charge. 146 00:08:41,600 --> 00:08:45,000 Speaker 1: Right now, the timing of it, to your point is 147 00:08:45,440 --> 00:08:48,760 Speaker 1: is a little bit rough, primarily because of the trade 148 00:08:48,760 --> 00:08:52,120 Speaker 1: agreements between Trump and E G. Ping. So UM, I 149 00:08:52,160 --> 00:08:56,079 Speaker 1: think there's a timing element to it, um, but from 150 00:08:56,080 --> 00:09:01,440 Speaker 1: from from a trade perspective, still unclear, quite frankly, right, Um, 151 00:09:01,480 --> 00:09:05,760 Speaker 1: In terms of UM, you know Whahwei and what Wahwei provides. 152 00:09:05,800 --> 00:09:10,679 Speaker 1: Wahwei provides the actual network equipment that helps drive our 153 00:09:11,240 --> 00:09:15,160 Speaker 1: UM wireless networks. So if you look at the Chinese 154 00:09:15,160 --> 00:09:19,479 Speaker 1: wi uh wireless markets, some of the European wireless markets, 155 00:09:19,520 --> 00:09:23,120 Speaker 1: they use a lot of the Wahwei equipment. UM. And 156 00:09:23,200 --> 00:09:26,160 Speaker 1: if you think about how we have digital networks, a 157 00:09:26,200 --> 00:09:29,240 Speaker 1: lot of the digital networks can you can actually peer 158 00:09:29,280 --> 00:09:32,440 Speaker 1: into the packets itself and see what's being said and 159 00:09:32,480 --> 00:09:35,360 Speaker 1: then you know, an eavesdrop into the communication. So there 160 00:09:35,440 --> 00:09:37,680 Speaker 1: is a security concern element and that's one of the 161 00:09:37,679 --> 00:09:41,240 Speaker 1: reasons why the US government has banned Wahwei equipment um 162 00:09:41,840 --> 00:09:44,200 Speaker 1: for their use. And the other element of that is 163 00:09:44,240 --> 00:09:47,960 Speaker 1: a Wahwei is the second largest first or second largest 164 00:09:47,960 --> 00:09:51,880 Speaker 1: smartphone provider as well, and that was also banned UH 165 00:09:51,880 --> 00:09:56,640 Speaker 1: into or uh discourage from being sold in the US. 166 00:09:56,679 --> 00:09:59,520 Speaker 1: So there there are security elements on both fronts, on 167 00:09:59,559 --> 00:10:04,000 Speaker 1: the equipment side as well as on on the smartphone side. Now, Michael, 168 00:10:04,040 --> 00:10:08,760 Speaker 1: the chief financial officers you were describing of Huawei, Sabrina Mang, 169 00:10:09,800 --> 00:10:16,480 Speaker 1: was arrested during a layover flight in Canada. The allegations 170 00:10:16,520 --> 00:10:22,000 Speaker 1: have to do with an ongoing criminal investigation into Huawei, 171 00:10:22,040 --> 00:10:24,520 Speaker 1: which started I think it was back in the spring. 172 00:10:25,200 --> 00:10:27,559 Speaker 1: What exactly do you believe the government I mean, has 173 00:10:27,600 --> 00:10:30,920 Speaker 1: to do with dealings with the Iran. What is there 174 00:10:30,960 --> 00:10:36,360 Speaker 1: any subtext here based on the trade dispute. Well, the 175 00:10:36,400 --> 00:10:39,200 Speaker 1: subtext would be that the US is cracking down on 176 00:10:39,360 --> 00:10:42,960 Speaker 1: China for a lot of things. This is not directly 177 00:10:43,080 --> 00:10:46,040 Speaker 1: related to trade with the US, but it is an 178 00:10:46,080 --> 00:10:50,760 Speaker 1: allegation that the Huawei helped evade US sanctions on Iran. 179 00:10:51,080 --> 00:10:55,079 Speaker 1: Huawei has a defense arguing that the regulations are unclear 180 00:10:55,080 --> 00:10:59,400 Speaker 1: and that um they didn't necessarily violate the US law. 181 00:10:59,440 --> 00:11:03,160 Speaker 1: That'll have we argued out. But while it's not directly 182 00:11:03,200 --> 00:11:06,840 Speaker 1: related to the trade dispute, it does complicate matters because 183 00:11:07,200 --> 00:11:10,120 Speaker 1: it is part of an effort, along with remember the 184 00:11:10,200 --> 00:11:14,360 Speaker 1: Zte case, uh the US to crack down on these 185 00:11:14,360 --> 00:11:18,520 Speaker 1: companies in China that it sees as threats. Now, it's 186 00:11:18,520 --> 00:11:21,040 Speaker 1: not to say they did or didn't do something wrong. 187 00:11:21,880 --> 00:11:24,439 Speaker 1: I'm not the judge, but there are credible allegations they 188 00:11:24,440 --> 00:11:27,360 Speaker 1: did something wrong. But it does seem to be a 189 00:11:27,480 --> 00:11:30,280 Speaker 1: coordinated effort on the part of the administration to go 190 00:11:30,400 --> 00:11:35,320 Speaker 1: after companies deliberately because they are competitors to the U 191 00:11:35,400 --> 00:11:36,840 Speaker 1: s they are a threat to the US and if 192 00:11:36,840 --> 00:11:39,200 Speaker 1: they're getting there by breaking the law, then they should 193 00:11:39,240 --> 00:11:41,880 Speaker 1: be prosecuted. Come on in here, because one thing that 194 00:11:41,880 --> 00:11:45,200 Speaker 1: I'm struck by is how isolated is Huawei, which is 195 00:11:45,240 --> 00:11:48,200 Speaker 1: a huge company in China, one of the most important, 196 00:11:48,240 --> 00:11:51,480 Speaker 1: if not the most important companies there. How much business 197 00:11:51,480 --> 00:11:54,320 Speaker 1: does it do with US companies and US suppliers. Sure 198 00:11:54,480 --> 00:11:59,960 Speaker 1: so in terms of the equipment perspective. What we calculated 199 00:12:00,120 --> 00:12:03,559 Speaker 1: was that Wahwei provides five billion, five billion with a 200 00:12:03,640 --> 00:12:07,360 Speaker 1: B dollars of equipment in terms of network equipment from 201 00:12:07,360 --> 00:12:10,960 Speaker 1: optical wireless infrastructure, so on and so forth. Right, that's 202 00:12:11,000 --> 00:12:12,880 Speaker 1: different from z t E. Z t E is still 203 00:12:12,920 --> 00:12:17,480 Speaker 1: a fairly domestic Chinese market. The US doesn't buy Chinese 204 00:12:17,520 --> 00:12:22,240 Speaker 1: equipment for the most part, so it's mostly UM, Western Europe, Latan, 205 00:12:22,360 --> 00:12:27,200 Speaker 1: austral Australia, Japan, and South Korea. UM. But there are 206 00:12:27,240 --> 00:12:31,120 Speaker 1: broader implications for the suppliers. If we look at what 207 00:12:31,200 --> 00:12:34,719 Speaker 1: we published today, UM, there Wahwei is the number one 208 00:12:34,720 --> 00:12:38,720 Speaker 1: optical equipment supplier. And what we can see from the 209 00:12:38,800 --> 00:12:43,439 Speaker 1: SPLC function on Bloomberg is that Momentum Neo Photonics provides 210 00:12:43,480 --> 00:12:48,160 Speaker 1: about generates their sales from from Huahwei, and there are 211 00:12:48,200 --> 00:12:51,920 Speaker 1: a host of others UH providers UM that provides temper 212 00:12:51,960 --> 00:12:55,040 Speaker 1: sent or or or more on sales. Now we're not 213 00:12:55,200 --> 00:12:59,000 Speaker 1: there yet, right. The z t E ban UM, you know, 214 00:12:59,360 --> 00:13:02,600 Speaker 1: show that it can cripple the US supply band Camp, 215 00:13:02,600 --> 00:13:06,280 Speaker 1: cripple STPLAI, but we're not there yet. Jho technology analyst 216 00:13:06,320 --> 00:13:10,320 Speaker 1: for Bloomberg Intelligence and Mike McKee, international economics and policy 217 00:13:10,360 --> 00:13:13,320 Speaker 1: correspondent for bloomber Both of you, thank you so much. 218 00:13:13,640 --> 00:13:16,760 Speaker 1: A lot to figure out, a lot unknown as of yet, 219 00:13:16,800 --> 00:13:19,640 Speaker 1: so we will continue to dig into it as new 220 00:13:19,720 --> 00:13:35,120 Speaker 1: information arises. Real estate, commercial real estate, multi family realist state. 221 00:13:35,880 --> 00:13:38,599 Speaker 1: We've got an expert, Gerald Gutterman. Jerry Gutterman is the 222 00:13:38,640 --> 00:13:42,720 Speaker 1: senior principal partner and chief investment officer for Government Partners. 223 00:13:42,760 --> 00:13:45,280 Speaker 1: They are based in New York and he joins us now. 224 00:13:45,400 --> 00:13:48,120 Speaker 1: Jerry Gutterman, thank you very much for being with us. 225 00:13:48,520 --> 00:13:51,679 Speaker 1: Let's begin right off the bat by. When you see 226 00:13:51,880 --> 00:13:55,520 Speaker 1: a day like today in the stock market and the 227 00:13:55,559 --> 00:14:01,480 Speaker 1: bond market, what's your reaction. Of course, I would rather 228 00:14:01,559 --> 00:14:05,480 Speaker 1: the market be going up, But it doesn't really affect 229 00:14:05,720 --> 00:14:08,600 Speaker 1: the real estate as an investment on a daily basis, 230 00:14:09,240 --> 00:14:12,880 Speaker 1: because the real estate continues to work, the tenants continued 231 00:14:12,960 --> 00:14:15,520 Speaker 1: to pay rent, and they're really not affected by this. 232 00:14:16,040 --> 00:14:18,880 Speaker 1: We understand that four O one case can be affected, 233 00:14:19,200 --> 00:14:23,000 Speaker 1: but the daily living of the average tenant is not affected. 234 00:14:23,160 --> 00:14:26,480 Speaker 1: But Jerry, fair enough, fair enough. Although some people would 235 00:14:26,520 --> 00:14:29,680 Speaker 1: interpret what we're seeing, certainly in bond and stock markets 236 00:14:29,720 --> 00:14:34,320 Speaker 1: as a signal that growth is slowing, substantially around the world, 237 00:14:34,320 --> 00:14:37,680 Speaker 1: including the US. We're seeing inflation expectations dropping the most 238 00:14:37,680 --> 00:14:40,040 Speaker 1: more than a year today. I'm just wondering, how does 239 00:14:40,080 --> 00:14:42,760 Speaker 1: that play into the housing market, given the fact that 240 00:14:42,800 --> 00:14:45,280 Speaker 1: the last time we spoke, you said that you foresee 241 00:14:45,320 --> 00:14:49,720 Speaker 1: an implosion in high end condos coming. Yes, because I've 242 00:14:49,720 --> 00:14:53,640 Speaker 1: seen this now three different times. I saw it in 243 00:14:53,760 --> 00:14:59,280 Speaker 1: nine seven, I saw it in two thousand six two 244 00:14:59,320 --> 00:15:04,640 Speaker 1: thousand even, and then two thousand fourteen, two thousand sixteen, 245 00:15:05,200 --> 00:15:10,160 Speaker 1: now been seeing it, and in seven to night. Of course, 246 00:15:10,280 --> 00:15:15,040 Speaker 1: the real estate market had the same exact things happened 247 00:15:15,040 --> 00:15:17,120 Speaker 1: to it. It wasn't a matter of the stock market, 248 00:15:17,160 --> 00:15:20,600 Speaker 1: and I realized that in seven we had a big 249 00:15:20,640 --> 00:15:23,800 Speaker 1: problem with the stock market, and we had that one 250 00:15:23,880 --> 00:15:27,280 Speaker 1: day crashed. But on the other hand, the big problem 251 00:15:27,320 --> 00:15:30,800 Speaker 1: and the big reason that the real estate market weakened 252 00:15:30,960 --> 00:15:36,840 Speaker 1: was because of overbuilding, constantly, constantly overbuilding, because if you 253 00:15:37,000 --> 00:15:40,560 Speaker 1: give a normal and usual builder a mortgage, he will 254 00:15:40,600 --> 00:15:46,080 Speaker 1: build in the desert. And consequently, by nine eighty seven night, 255 00:15:47,120 --> 00:15:52,160 Speaker 1: the over building and the over capacity was such that 256 00:15:52,240 --> 00:15:55,920 Speaker 1: we saw it coming, and the pricing for it at 257 00:15:55,960 --> 00:15:58,560 Speaker 1: that point because they were building so much, but they 258 00:15:58,600 --> 00:16:02,000 Speaker 1: were building into with demand where the price of the 259 00:16:02,080 --> 00:16:05,360 Speaker 1: product kept going up and up and up to where 260 00:16:05,800 --> 00:16:09,240 Speaker 1: the return kept going down. The return went down to five, 261 00:16:10,080 --> 00:16:14,400 Speaker 1: then below five. It reminds me of today we had 262 00:16:14,480 --> 00:16:17,560 Speaker 1: the same thing happened that we saw in two thousand 263 00:16:17,600 --> 00:16:20,160 Speaker 1: and six, two thousand and seven. We saw it happening 264 00:16:20,160 --> 00:16:24,320 Speaker 1: in two thousand and eight. We sold everything between two 265 00:16:24,320 --> 00:16:27,440 Speaker 1: thousand and six and two thousand and seven, just like 266 00:16:27,520 --> 00:16:32,880 Speaker 1: we sold everything between seven and Alright, Jerry, advantage of it. 267 00:16:33,200 --> 00:16:36,640 Speaker 1: We get it makes sense what you're saying in the 268 00:16:36,760 --> 00:16:40,520 Speaker 1: high end condom market. I'm wondering does that sort of 269 00:16:40,600 --> 00:16:44,200 Speaker 1: carry over to the rest of the housing market, especially 270 00:16:44,400 --> 00:16:47,600 Speaker 1: in light of sensibly rising rates, although now they're going 271 00:16:47,680 --> 00:16:52,720 Speaker 1: back down. You know, we specialize. We really have not 272 00:16:52,880 --> 00:16:57,000 Speaker 1: been doing new homes. We've been doing more conversions, that is, 273 00:16:57,560 --> 00:17:02,560 Speaker 1: buying rental properties and converting them to condominium ownership. Because 274 00:17:02,600 --> 00:17:05,760 Speaker 1: when we do that, what we find is we can 275 00:17:05,760 --> 00:17:09,600 Speaker 1: buy the product better cheaper, and we can actually sell 276 00:17:09,640 --> 00:17:14,800 Speaker 1: it significantly cheaper. And when you realize, when you finally 277 00:17:14,880 --> 00:17:19,840 Speaker 1: realize that if you buy an existing rental property, that 278 00:17:19,960 --> 00:17:23,800 Speaker 1: tenant in possession is your partner. If you're going to 279 00:17:23,960 --> 00:17:27,439 Speaker 1: do a condominium conversion. That is, you're going to convert 280 00:17:27,480 --> 00:17:31,160 Speaker 1: the condominium ownership. Well, what is your partner want? Your 281 00:17:31,160 --> 00:17:34,120 Speaker 1: partner wants to buy it almost as cheaply as you did. 282 00:17:34,840 --> 00:17:38,760 Speaker 1: And the answer is, we believe that every tenant in 283 00:17:38,800 --> 00:17:42,560 Speaker 1: possession is a partner, and we give the tenants in 284 00:17:42,640 --> 00:17:47,040 Speaker 1: possession a significant price reduction. How do we do that? 285 00:17:47,760 --> 00:17:50,639 Speaker 1: We do that because we're able to take advantage of 286 00:17:50,640 --> 00:17:54,840 Speaker 1: the market as it is now. Starting now, because it's 287 00:17:54,880 --> 00:17:58,880 Speaker 1: already started several months ago, the prices have been dropping 288 00:17:58,960 --> 00:18:03,359 Speaker 1: significantly in the areas where there has been extreme over building. 289 00:18:03,440 --> 00:18:06,680 Speaker 1: For instance, if I go to Florida and I pick 290 00:18:06,720 --> 00:18:10,199 Speaker 1: a city like Sunny Isles Beach, which most people know, 291 00:18:11,359 --> 00:18:17,520 Speaker 1: if you have a non luxury apartment that is going condominium, 292 00:18:17,560 --> 00:18:20,879 Speaker 1: I would tell you today that there's about thirty two 293 00:18:20,920 --> 00:18:24,960 Speaker 1: months of supply right now. That means it's going to 294 00:18:25,119 --> 00:18:29,199 Speaker 1: take thirty two months to sell what is normally sold 295 00:18:29,520 --> 00:18:33,439 Speaker 1: in one year. If you go to the luxury market, 296 00:18:33,880 --> 00:18:37,480 Speaker 1: it's fifty five and a half months of supply. Can 297 00:18:37,480 --> 00:18:40,480 Speaker 1: you imagine fifty five and a half months, that's four 298 00:18:40,520 --> 00:18:44,880 Speaker 1: and a half years of supply on an average sale 299 00:18:45,160 --> 00:18:49,199 Speaker 1: per year basis, Well, the builders can't hold out, and 300 00:18:49,359 --> 00:18:52,240 Speaker 1: what's the only thing they can do. They have to 301 00:18:52,280 --> 00:18:55,439 Speaker 1: be able to sell and get out. The builders can't 302 00:18:55,480 --> 00:18:59,240 Speaker 1: sell at steep discounts. It's not possible. And the reason 303 00:18:59,400 --> 00:19:02,440 Speaker 1: is the banks who have made them the loans will 304 00:19:02,480 --> 00:19:05,480 Speaker 1: not allow the builders to sell at a discounted price. 305 00:19:06,040 --> 00:19:09,560 Speaker 1: The reason is because if the bank allows the builder 306 00:19:09,640 --> 00:19:14,080 Speaker 1: to sell at a discounted price, then the auditors are 307 00:19:14,080 --> 00:19:17,600 Speaker 1: going to come in and they're going to drop all 308 00:19:17,640 --> 00:19:21,400 Speaker 1: of the value for their mortgages that they have by 309 00:19:21,440 --> 00:19:24,760 Speaker 1: at least that amount, and they're going to take their collateral. 310 00:19:24,840 --> 00:19:28,959 Speaker 1: The banks collateral will only be worth a certain amount 311 00:19:29,040 --> 00:19:33,159 Speaker 1: less if they dropped the price. Can you imagine the 312 00:19:33,320 --> 00:19:37,359 Speaker 1: order is coming in and dropping the collateral by or 313 00:19:38,640 --> 00:19:43,000 Speaker 1: or and that's what happens, Gerald, Jared. Let me let 314 00:19:43,000 --> 00:19:45,359 Speaker 1: me ask you one question having to do with the 315 00:19:45,600 --> 00:19:51,000 Speaker 1: non professional or the non experienced, the unexperienced real estate 316 00:19:51,119 --> 00:19:56,240 Speaker 1: investor who have put billions of dollars into real estate projects. 317 00:19:57,160 --> 00:19:59,600 Speaker 1: Is this going to be the time when they try 318 00:19:59,600 --> 00:20:04,320 Speaker 1: to rush for the exits. If it is an investor 319 00:20:04,320 --> 00:20:08,119 Speaker 1: who invested in the last year or two and the 320 00:20:08,240 --> 00:20:12,720 Speaker 1: project was purchased at a price as it was priced 321 00:20:12,760 --> 00:20:15,080 Speaker 1: over the last year or two. The answer is yes, 322 00:20:16,160 --> 00:20:19,560 Speaker 1: and that's why we're so busy now, because we pick 323 00:20:19,680 --> 00:20:23,679 Speaker 1: these times to keep coming back in when the market 324 00:20:23,760 --> 00:20:27,360 Speaker 1: can be discounted significantly, and when we buy now it's 325 00:20:27,440 --> 00:20:31,160 Speaker 1: common knowledge um in the market that we buy anything 326 00:20:31,240 --> 00:20:35,360 Speaker 1: from fifty to discount. Jerry Gutterman, thank you so much 327 00:20:35,359 --> 00:20:37,840 Speaker 1: for being with us. Uh and Uh, well, we'll see 328 00:20:37,840 --> 00:20:41,280 Speaker 1: whether those discounts will only get steeper from here. So 329 00:20:41,320 --> 00:20:43,480 Speaker 1: I'm sure you have a busy few months out of you. 330 00:20:43,560 --> 00:20:46,399 Speaker 1: Jerry Gutterman, Senior principal partner in chief investment officer at 331 00:20:46,400 --> 00:21:00,960 Speaker 1: Gotterman Partners LLLC in New York. It's interesting for him 332 00:21:01,040 --> 00:21:03,919 Speaker 1: as we talk about trade tensions and some of the 333 00:21:03,960 --> 00:21:07,800 Speaker 1: turmoil in the tech sector, how does one go about 334 00:21:07,840 --> 00:21:12,760 Speaker 1: identifying opportunities among emerging tech companies with big data and 335 00:21:12,920 --> 00:21:17,119 Speaker 1: artificial intelligence against this backdrop? And joining us from Tel Aviv, 336 00:21:17,280 --> 00:21:20,560 Speaker 1: Israel to talk about this is Brock Rabinowitz, managing partner 337 00:21:20,600 --> 00:21:24,800 Speaker 1: at F two Capital. Brock, wonderful to have you, especially 338 00:21:24,880 --> 00:21:28,760 Speaker 1: on a day like this where the trade tensions are highlighted. 339 00:21:28,960 --> 00:21:33,480 Speaker 1: How much does that backdrop color your view of how 340 00:21:33,520 --> 00:21:37,679 Speaker 1: to invest in emerging tech sectors. Yeah, it's great to 341 00:21:37,720 --> 00:21:41,119 Speaker 1: be here. UM. You know, we're ten year vehicles in 342 00:21:41,359 --> 00:21:44,040 Speaker 1: UH in venture capital funds generally. And I was just 343 00:21:44,080 --> 00:21:46,520 Speaker 1: in the US and I heard from you know, family 344 00:21:46,560 --> 00:21:49,240 Speaker 1: offices and large institutional investors who are spread in the 345 00:21:49,240 --> 00:21:51,480 Speaker 1: equity market is dead markets and also a bit in 346 00:21:51,520 --> 00:21:54,280 Speaker 1: private equity and VC. They're actually moving more money to 347 00:21:54,359 --> 00:21:56,480 Speaker 1: VC now because of that, because nobody knows what to 348 00:21:56,520 --> 00:22:01,320 Speaker 1: make out of all this volatility. VC being venture capital, yes, ye, 349 00:22:01,520 --> 00:22:06,000 Speaker 1: venture capital UM, transforming markets, transforming the world. UH. They 350 00:22:06,040 --> 00:22:08,960 Speaker 1: still believe in tech despite the volatility, and VC is 351 00:22:08,960 --> 00:22:12,119 Speaker 1: an attractive way to do it UM. And at the 352 00:22:12,160 --> 00:22:14,240 Speaker 1: same time, all the big tech giants are sitting on 353 00:22:14,280 --> 00:22:16,920 Speaker 1: hundreds of billions of dollars in cash, so people can 354 00:22:16,960 --> 00:22:20,639 Speaker 1: see the exit activity will continue and it's about finding 355 00:22:20,720 --> 00:22:24,960 Speaker 1: value in different locations around the world. Barack, can you 356 00:22:25,000 --> 00:22:27,680 Speaker 1: just give us a little background on F two capital, 357 00:22:27,720 --> 00:22:31,159 Speaker 1: because I believe what a spin out out of Genesis Partners, 358 00:22:31,240 --> 00:22:34,600 Speaker 1: you and two others deciding to go out on your own, 359 00:22:34,760 --> 00:22:37,800 Speaker 1: and you managed to also take something called the Junction 360 00:22:38,080 --> 00:22:43,720 Speaker 1: with you. This is an accelerator program explain how it works. Sure, 361 00:22:43,760 --> 00:22:46,520 Speaker 1: I'd be happy to pim so. Genesis Partners was one 362 00:22:46,520 --> 00:22:49,000 Speaker 1: of the original venture capital funds formed in Israel when 363 00:22:49,000 --> 00:22:52,520 Speaker 1: the industry started about twenty five years ago. It we 364 00:22:52,600 --> 00:22:56,879 Speaker 1: had six fifty million dollars under management across four funds. 365 00:22:56,920 --> 00:22:59,000 Speaker 1: And what we saw in Israel generally is the changing 366 00:22:59,040 --> 00:23:02,240 Speaker 1: of the guard. At the time Genesis started, it was 367 00:23:02,320 --> 00:23:05,000 Speaker 1: very much a buyer's market, those with the cash where kings. 368 00:23:05,640 --> 00:23:08,679 Speaker 1: But what's happened over time is more and more strategic 369 00:23:08,720 --> 00:23:11,199 Speaker 1: players moving to Israel and start buying up companies. Is 370 00:23:11,640 --> 00:23:14,199 Speaker 1: power has shifted to the entrepreneurs, so the founders have 371 00:23:14,240 --> 00:23:17,560 Speaker 1: the power. It's now a seller's market and vcs to 372 00:23:17,600 --> 00:23:21,240 Speaker 1: be successful have to give more than cash UH in 373 00:23:21,359 --> 00:23:23,879 Speaker 1: order to secure the top deals. In our way of 374 00:23:23,880 --> 00:23:26,119 Speaker 1: doing that at F two Capital, F two is powered 375 00:23:26,160 --> 00:23:29,640 Speaker 1: to founders UH in this spirit is through our platform 376 00:23:29,680 --> 00:23:33,080 Speaker 1: called the Junction. The Junction is a network that we've 377 00:23:33,080 --> 00:23:38,000 Speaker 1: created of multinationals including sap Unich, re Kuley, Packard and 378 00:23:38,040 --> 00:23:40,439 Speaker 1: others largest players in the world who are looking to 379 00:23:40,560 --> 00:23:45,120 Speaker 1: Israel for technology edge UH, and we leverage them as 380 00:23:45,119 --> 00:23:46,919 Speaker 1: a way to stand out in the market and support 381 00:23:46,960 --> 00:23:49,959 Speaker 1: founders and attract them to our program. So, Brock, I'm 382 00:23:49,960 --> 00:23:51,760 Speaker 1: wondering if you could look into the crystal ball and 383 00:23:51,800 --> 00:23:55,480 Speaker 1: tell us what the cutting edge technology is currently being 384 00:23:55,480 --> 00:23:59,520 Speaker 1: developed that you think will change the world. Everybody is 385 00:23:59,560 --> 00:24:02,919 Speaker 1: talking about artificial intelligence, and it's just different ways to 386 00:24:02,960 --> 00:24:06,600 Speaker 1: apply that. Artificial intelligence In Israel, Uh, it all comes 387 00:24:06,600 --> 00:24:09,000 Speaker 1: out of the military. Israel has always been at a 388 00:24:09,080 --> 00:24:12,560 Speaker 1: numerical disadvantage to our neighbors in a hostile region. We've 389 00:24:12,560 --> 00:24:15,960 Speaker 1: relied on artificial intelligence from the you know, basically the 390 00:24:15,960 --> 00:24:19,920 Speaker 1: the the uh initial days of of of computers. Well, 391 00:24:19,920 --> 00:24:21,480 Speaker 1: but how is it going to be applied in a 392 00:24:21,520 --> 00:24:23,639 Speaker 1: cutting edge way that's going to sort of transform the 393 00:24:23,680 --> 00:24:26,840 Speaker 1: way we think about things. It's it's gonna be applied 394 00:24:26,840 --> 00:24:30,479 Speaker 1: in stages so um. You know, for example, enterprises are 395 00:24:30,520 --> 00:24:33,159 Speaker 1: sitting on tons of data. They're drowning in data. They 396 00:24:33,160 --> 00:24:34,520 Speaker 1: don't know how to make sense of all the data. 397 00:24:34,560 --> 00:24:37,000 Speaker 1: So you can apply machine learning to comb through the data, 398 00:24:37,240 --> 00:24:39,199 Speaker 1: enrich it with other data you can get off the 399 00:24:39,200 --> 00:24:41,679 Speaker 1: web in order to create predictive models to tell you 400 00:24:41,720 --> 00:24:45,080 Speaker 1: how much, uh to pay for your next house. Uh. 401 00:24:45,160 --> 00:24:47,720 Speaker 1: We're equally which drug is going to be effective to 402 00:24:47,760 --> 00:24:51,359 Speaker 1: cure cancer. UH. In other realms, in real estate, we see, 403 00:24:51,600 --> 00:24:56,280 Speaker 1: for example, UH, the use of bots who can service 404 00:24:56,560 --> 00:24:59,440 Speaker 1: hundreds of clients compared to a regular agent who can 405 00:24:59,640 --> 00:25:01,880 Speaker 1: serve dozens at a time, and they do that through 406 00:25:01,920 --> 00:25:04,480 Speaker 1: artificial intelligence. So I think it will be a matter 407 00:25:04,520 --> 00:25:09,960 Speaker 1: of enhancing human capabilities, UH using computing power. Now, according 408 00:25:10,000 --> 00:25:14,199 Speaker 1: to the reports, you get pitches from let's say two 409 00:25:14,280 --> 00:25:18,600 Speaker 1: hundred and fifty applicants, and you select five companies and 410 00:25:18,640 --> 00:25:21,600 Speaker 1: they enter a six month boot camp program. You give 411 00:25:21,640 --> 00:25:24,879 Speaker 1: them a hundred thousand dollars in funding on a convertible note, 412 00:25:25,400 --> 00:25:27,840 Speaker 1: and then you get an option to invest more. Some 413 00:25:27,960 --> 00:25:31,600 Speaker 1: of the companies are Regulus X of firewall, anti virus 414 00:25:31,640 --> 00:25:34,240 Speaker 1: solution for drones and so on. But you say you 415 00:25:34,280 --> 00:25:38,640 Speaker 1: want to develop sophisticated insurance technology. Tell us about why 416 00:25:38,720 --> 00:25:40,840 Speaker 1: you don't want to go business to consumer. You want 417 00:25:40,840 --> 00:25:44,280 Speaker 1: to go business to business. You know. I always feel 418 00:25:44,280 --> 00:25:46,720 Speaker 1: that entrepreneurs they need to do things where they have 419 00:25:46,760 --> 00:25:50,000 Speaker 1: an advantage. And Israel is so far removed from the 420 00:25:50,040 --> 00:25:54,000 Speaker 1: big consumer markets, for example, the US, that we're really 421 00:25:54,000 --> 00:25:56,080 Speaker 1: going to be at a disadvantage to startups in New 422 00:25:56,160 --> 00:25:59,399 Speaker 1: York or California. Uh. Instead if we can work behind 423 00:25:59,400 --> 00:26:03,440 Speaker 1: the scenes, powering enterprises to do their jobs better, that's 424 00:26:03,480 --> 00:26:06,520 Speaker 1: really a sweet spot that we found, uh. And that's 425 00:26:06,560 --> 00:26:09,879 Speaker 1: what the multinationals like Google, Facebook, Apple, they all have 426 00:26:09,920 --> 00:26:12,080 Speaker 1: their R and D centers outside the US and Israel, 427 00:26:12,280 --> 00:26:15,159 Speaker 1: but more recently the Chinese Ali Baba and some of 428 00:26:15,200 --> 00:26:18,000 Speaker 1: the other big names have come here. Uh, And that's 429 00:26:18,000 --> 00:26:20,160 Speaker 1: why we chose to focus our program on these kind 430 00:26:20,200 --> 00:26:24,240 Speaker 1: of enterprise deep technologies. Brock Who's ahead when it comes 431 00:26:24,320 --> 00:26:31,480 Speaker 1: to tech advancement US or China? I think the the 432 00:26:31,600 --> 00:26:34,200 Speaker 1: US will always be ahead when it comes to creativity, 433 00:26:34,200 --> 00:26:36,480 Speaker 1: and that means that US will always be ahead. China 434 00:26:36,560 --> 00:26:39,480 Speaker 1: has always been good at copying. Where you see them 435 00:26:39,920 --> 00:26:42,960 Speaker 1: ahead is more in I would say, new forms of 436 00:26:43,000 --> 00:26:47,439 Speaker 1: payment technology or you know, specific areas, But I have 437 00:26:47,560 --> 00:26:51,080 Speaker 1: long term confidence in the US. Tell us just quickly 438 00:26:51,200 --> 00:26:55,360 Speaker 1: about frontier technology when it comes to augmented reality products. 439 00:26:55,359 --> 00:26:57,239 Speaker 1: How could they be used in business? And what are 440 00:26:57,280 --> 00:27:00,000 Speaker 1: you doing to support that. Three D printers for examp 441 00:27:00,000 --> 00:27:04,360 Speaker 1: and pull or cloud based quality assurance testing. Yeah, I'll 442 00:27:04,400 --> 00:27:06,399 Speaker 1: tell you. I mean you mentioned three D printers. Three 443 00:27:06,480 --> 00:27:09,440 Speaker 1: D printers you know gets into the realm of additive manufacturing. 444 00:27:09,680 --> 00:27:12,920 Speaker 1: And I'm actually born and raised in Ohio and Youngstown, 445 00:27:12,960 --> 00:27:15,880 Speaker 1: Ohio and the rust Belt, and we've done a partnership recently. 446 00:27:16,440 --> 00:27:18,480 Speaker 1: Alongside the big names I mentioned, we also have a 447 00:27:18,480 --> 00:27:22,040 Speaker 1: partnership with the Youngstown Business Incubator, which is looking to 448 00:27:22,200 --> 00:27:25,000 Speaker 1: Israeli tech and additive manufacturing as a way to stimulate 449 00:27:25,080 --> 00:27:28,480 Speaker 1: jobs UH in an economically depressed part of the nation 450 00:27:29,359 --> 00:27:33,840 Speaker 1: by embracing added manufacturing and restoring manufacturing power to the 451 00:27:33,880 --> 00:27:37,520 Speaker 1: rust belt. UM. But you know you mentioned augmented reality 452 00:27:37,560 --> 00:27:40,800 Speaker 1: as well. Same thing. We're seeing huge disruptions as people 453 00:27:40,840 --> 00:27:44,280 Speaker 1: adopt artificial intelligence. You've probably heard the statistics a lot 454 00:27:44,280 --> 00:27:46,760 Speaker 1: of people are going to be unemployed. Well, if you 455 00:27:46,800 --> 00:27:50,080 Speaker 1: could use augmented reality, for example, in classes, UH and 456 00:27:50,200 --> 00:27:52,400 Speaker 1: give that to people who would otherwise be laid off 457 00:27:52,440 --> 00:27:55,480 Speaker 1: and send them back into the field as service personnel 458 00:27:56,080 --> 00:27:58,600 Speaker 1: getting the training they need in real time in the 459 00:27:58,640 --> 00:28:02,520 Speaker 1: direction they need a real time UH to fix problems. UH. 460 00:28:02,600 --> 00:28:07,119 Speaker 1: It's it's a really impactful way of both generating profits 461 00:28:07,560 --> 00:28:10,359 Speaker 1: UH and a social impact. Thanks very much for being 462 00:28:10,400 --> 00:28:13,159 Speaker 1: with us. Barak Rabinowitz is the managing partner of F 463 00:28:13,320 --> 00:28:18,080 Speaker 1: two Capital based in Tel Aviv. Speaking about artificial intelligence 464 00:28:18,440 --> 00:28:24,400 Speaker 1: and venture capital incubators. Thanks for listening to the Bloomberg 465 00:28:24,400 --> 00:28:27,080 Speaker 1: P and L podcast. You can subscribe and listen to 466 00:28:27,119 --> 00:28:31,639 Speaker 1: interviews at Apple Podcasts, SoundCloud, or whatever podcast platform you prefer. 467 00:28:32,040 --> 00:28:35,640 Speaker 1: I'm pim Fox. I'm on Twitter at pim Fox. I'm 468 00:28:35,640 --> 00:28:39,040 Speaker 1: on Twitter at Lisa abramowits one before the podcast. You 469 00:28:39,080 --> 00:28:41,600 Speaker 1: can always catch us worldwide on Bloomberg Radio